{"dmp":{"contact":{"contact_id":{"identifier":"f81cbc41-ffdf-4b90-8b86-16f05a9b0214","type":"other"},"mbox":"divyapragna.mulla@unisalento.it","name":"Divya Pragna MULLA"},"contributor":[{"contributor_id":{"identifier":"0000-0002-9457-4229","type":"other"},"name":"Edoardo Calizza (0000-0002-9457-4229)","role":["Researchers"]},{"contributor_id":{"identifier":"0000-0002-3468-7061","type":"other"},"name":"Divya Pragna Mulla (orcid:0000-0002-3468-7061)","role":["Researchers"]},{"contributor_id":{"identifier":"0000-0002-9089-3257","type":"other"},"name":"David Rossi (orcid:0000-0002-9089-3257)","role":["Researchers"]},{"contributor_id":{"identifier":"0000-0001-6242-558X","type":"other"},"name":"Maria Letizia Costantini (orcid:0000-0001-6242-558X)","role":["Researchers"]},{"contributor_id":{"identifier":"0000-0002-3603-9316","type":"other"},"name":"Alberto BASSET (orcid:0000-0002-3603-9316)","role":["Researchers"]},{"contributor_id":{"identifier":"0000-0002-7553-9161","type":"other"},"name":"Giulio Careddu (0000-0002-7553-9161)","role":["Researchers"]},{"contributor_id":{"identifier":"0000-0003-2878-6175","type":"other"},"name":"Simona Sporta Caputi (0000-0003-2878-6175)","role":["Researchers"]},{"contributor_id":{"identifier":"fc0262a7-8fd2-4505-9949-dd4c5e31eda5","type":"other"},"mbox":"divyapragna.mulla@unisalento.it","name":"Divya Pragna MULLA","role":["Owner"]}],"cost":[{"description":"In the project, resources dedicated to data management and ensuring that data will be FAIR (Findable, Accessible, Interoperable, and Reusable) are well-defined. These include both financial and time-related costs to ensure compliance with best practices for research data management. Based on the information provided in the project document:

Financial Resources:

The project allocates specific budget items for data management activities, including the use of standardized tools for data collection, processing, ingestion, and preservation. This is in line with the LifeWatch Italy Data Portal, which ensures that data is managed according to the FAIR principles.
Resources are dedicated to metadata generation and management, ensuring data is properly described using the Ecological Metadata Language (EML) and assigned a DOI (Digital Object Identifier), which is essential for making data findable and accessible.
Time and Personnel Resources:

The project involves significant time investments from key personnel, including David Rossi and Maria Letizia Costantini, who contribute to data collection, stable isotope analysis, and food web reconstruction. The project tasks, such as data mining, meta-analysis, and isotopic analysis, are coordinated to ensure that all data remains accessible and interoperable.
The Data Management Plan (DMP) is developed early in the project (within the first 3-6 months) and continuously updated, reflecting the harmonized standards and quality control procedures.
"}],"created":"2024-09-19T06:54:23Z","dataset":[{"data_quality_assurance":["To ensure the quality and consistency of the research output, several measures will be implemented throughout the project. These might include:
1. Standardized Data Collection: Standard protocols for data collection will be followed to ensure accuracy and reliability. Field and lab experiments will be conducted in the wetlands using consistent methodologies.
2. Calibration and Quality Control: Calibration of experiments, such as carbon measurements, will be applied. Regular calibration of instruments will ensure the accuracy of data collected on parameters like carbon uptake and release.
3. Repeated Sampling and Measurements: To check for consistency, repeated sampling in different seasons will be conducted. This approach will allow the team to cross-verify data and detect any inconsistencies in environmental conditions and data trends.
4. Data Entry Validation: Quality control procedures will be established to ensure that data entry is accurate and free from errors. This could involve double-checking data entry points and validating datasets before ingestion into the repository.
5. Peer Review: All data and metadata will be peer-reviewed before final submission to ensure adherence to the project’s data management plan.
6. Controlled Vocabularies: The use of controlled vocabularies (such as the Ecological Metadata Language (EML 2.2.0)) will ensure the standardization of terms and data descriptions, making the data more consistent and interoperable.

"],"dataset_id":{"identifier":"not yet available","type":"other"},"description":"The context of the "Description of different data types" in the document refers to the management of data collected from various research activities, specifically focusing on wetlands and their ecosystem dynamics. The purpose is to ensure that all data types—such as carbon and nitrogen inputs, isotopic analysis, vegetation data, hydrological and satellite data, and food web structures—are clearly described, processed, and made interoperable for research and conservation purposes.","distribution":[{"format":["1. CSV (Comma-Separated Values): - For numerical data such as carbon and nitrogen concentrations, CO2 emission rates, and other field measurements. - Use: Raw and processed quantitative data."]},{"format":["2. TXT (Text Files): - For textual data, including site descriptions, sampling notes, and metadata. - Use: Qualitative information."]},{"format":["3. GIS Formats (e.g., .shp, .geojson): - For graphical data such as GIS maps of drainage patterns, vegetation cover, and NDVI. - Use: Visual, spatial data."]},{"format":["4. XLSX (Excel Spreadsheet): - For organizing and analyzing data, including data summaries, derived calculations, and meta-analysis. - Use: Quantitative and processed data."]},{"format":["5. JPG/PNG (Image Files): - For graphical representations of data, such as satellite images, maps, or graphs. - Use: Visual data."]},{"format":["6. PDF (Portable Document Format): - For reports, data summaries, and documentation of methodologies. - Use: Processed qualitative and graphical data."]},{},{"host":{"title":"Dryad","url":"https://datadryad.org/"}},{"host":{"title":"PANGAEA (Data Publisher for Earth & Environmental Science)","url":"https://www.pangaea.de/"}},{"host":{"title":"Lifewatch","url":"https://dataportal.lifewatchitaly.eu/data"}},{},{}],"keyword":["Keywords that will be provided in the metadata to optimize discovery and reuse of the dataset include:

Wetlands, carbon sequestration, food webs, biodiversity, habitat degradation, anthropogenic pressure, nitrogen inputs, climate change, ecosystem services, hydrology, vegetation cover, coastal lagoons, freshwater ponds, stable isotopes, organic matter decomposition, carbon cycling, nutrient inputs, ecosystem functioning, remote sensing, GIS, NDVI.
"],"language":"eng","metadata":[{"description":"The metadata for the project’s research output will be generated and structured to ensure it adheres to recognized standards and facilitates data discovery, reuse, and long-term preservation.

Planned Metadata Strategy:
Metadata Standards:

The project will use the Ecological Metadata Language (EML) standard, a widely recognized metadata format for ecological and environmental datasets.
This ensures that the data will be findable, accessible, interoperable, and reusable (FAIR) across various repositories and research platforms.
Content of Metadata:

The metadata will include the following key information:
Title: The name of the dataset, reflecting its content (e.g., "PRIN2022.WP1-5.Wetland_Ecosystem_Data").
Authors: The contributors and their affiliations, including roles such as data collectors, analysts, and PIs.
Description: A detailed abstract of the dataset, outlining the research context, objectives, data types, and collection methods.
Keywords/Tags: Specific keywords related to wetland ecosystems, carbon sequestration, food web structures, biodiversity, and climate change impacts.
Geospatial Information: Coordinates and descriptions of the locations of the wetlands studied (if applicable and not sensitive).
Temporal Coverage: The time period during which the data was collected (e.g., seasonal data across 2 years).
Provenance Information: Details on how the data was collected, processed, and transformed throughout its lifecycle.
Licensing and Access Information: Indicating if the data is open access or subject to specific licensing terms.
Data Format: File formats used (e.g., CSV, GIS, XLSX, etc.).
Repository Selection:

The dataset will be archived in the LifeWatch Italy Data Portal and LifeWatch ERIC Metadata Catalogue, both of which support EML and ensure compliance with international metadata standards.
These repositories will assign a unique DOI to the dataset, further supporting data tracking and citation.
Metadata Creation and Updates:

Metadata will be created early during the data collection process and continuously updated as the dataset evolves.
The project team will ensure that any changes in data processing or structure are reflected in the metadata, maintaining its accuracy and relevance throughout the project.
This comprehensive metadata will enhance the discoverability and usability of the dataset by other researchers and stakeholders, ensuring proper documentation and alignment with FAIR principles​
"}],"personal_data":"unknown","preservation_statement":"
1. Data to be Preserved:
Primary Research Data: All core datasets related to habitat degradation, food web structure, biomass, and carbon sequestration will be preserved in full. These include:
Ecological and environmental data on wetlands (e.g., biodiversity, species composition, carbon flow).
Hydrological models and data related to water dynamics within wetland systems.
Stable isotope data is used to reconstruct food webs and nutrient transfer within ecosystems.
Any associated field observations, measurements, and experimental data that contribute to the project’s outcomes.
2. Data to be Discarded:
Intermediary Data: Temporary or intermediary data, such as raw files that are used during the process of data cleaning or manipulation but have no added scientific value once refined, may not need to be preserved long-term.
Replicable Data: Data that can be easily replicated (e.g., certain computational or derived models) may not need to be preserved, especially if the process of generating it is well-documented and replicable using the retained data.
3. Legal and Regulatory Considerations:
There are no specific contractual or regulatory requirements mandating the destruction of data. However, data that falls under environmental regulations, particularly those about sensitive ecosystems, may need to be preserved with controlled access.
No sensitive personal data is included in the dataset, so there are no legal obligations to delete or anonymize data based on privacy concerns.
4. Plan for Selection:
In cases where the dataset size becomes excessive or where parts of the data are easily replicable, a selection process will be applied. Priority will be given to retaining:

Data that is unique and non-replicable, such as field measurements and experimental results.
Data that is highly valuable for future research, policy-making, or ecological restoration efforts.
Final decisions on data preservation will be made with input from researchers to ensure the retention of the most relevant and impactful information for future use.
","sensitive_data":"unknown","title":"PRIN- Data Management Plan_Version_1","type":"1. Numerical Data: - Includes measurements such as carbon and nitrogen concentrations, CO2 emission rates, hydrological parameters (e.g., water temperature, salinity), and decomposition rates. - Type: Quantitative, raw, and processed."}],"description":"
The  Data Management Plan (DMP) for the project described in the file aims to ensure proper handling of the data produced during the research lifecycle. The DMP will follow the FAIR principles (Findable, Accessible, Interoperable, and Reusable) to manage, archive, and make the data publicly available. The plan will be established early in the project to standardize procedures across partners, ensuring harmonization of metadata standards, quality control, and data preservation. The DMP also includes policies for data sharing and updates as needed throughout the project..
","dmp_id":{"identifier":"47bd1520-2cea-43ec-90f3-f9efbffbbfda","type":"other"},"ethical_issues_exist":"unknown","language":"eng","modified":"2024-11-25T08:49:52.147875Z","project":[{"description":"The project, \"ROLE OF HABITAT DEGRADATION AND FOOD WEB STRUCTURE IN THE PERFORMANCE OF WETLANDS AS CARBON SINKS\" aims to investigate how habitat degradation and alterations in food web structures impact the capacity of wetlands to function as carbon sinks. Wetlands are globally recognized as critical ecosystems for carbon storage, playing a pivotal role in mitigating climate change. However, human-induced habitat degradation, pollution, and biodiversity loss threaten their carbon sequestration efficiency.\n\nThe project will use an interdisciplinary approach, combining ecological, environmental, and biochemical data to assess the direct and indirect effects of environmental stressors on wetland carbon dynamics. A particular focus will be placed on the trophic interactions within food webs, examining how changes in species diversity and biomass affect carbon flows and storage.\n\nKey objectives of the project include:\n- Evaluating the impact of wetland degradation on ecosystem function, particularly in relation to carbon storage.\n- Understanding the role of food web structures in maintaining or reducing the efficiency of wetlands as carbon sinks.\n- Providing data-driven recommendations for restoration efforts to enhance the carbon sequestration capacity of wetlands.\n\nThe project will generate important insights into wetland management and conservation, contributing to global efforts to combat climate change and promote ecosystem sustainability.\n","end":"2024-09-19T09:54:23Z","funding":[{"funder_id":{"identifier":"Ministero dell'Università e della Ricerca (MUR) - BANDO 2022","type":"fundref"},"grant_id":{"identifier":"m_pi.AOODGRIC.REGISTRO_PRIN2022.0005768.31-03-2022","type":"other"}}],"start":"2024-09-19T09:54:23Z","title":"ROLE OF HABITAT DEGRADATION AND FOOD WEB STRUCTURE IN THE PERFORMANCE OF WETLANDS AS CARBON SINKS"}],"title":"ROLE OF HABITAT DEGRADATION AND FOOD WEB STRUCTURE IN THE PERFORMANCE OF WETLANDS AS CARBON SINKS"}}